Now Available: New Digital Training to Help You Learn About AWS Big Data Services
AWS Training and Certification recently released free digital training courses that will make it easier for you to build your cloud skills and learn about using AWS Big Data services. This training includes courses like Introduction to Amazon EMR and Introduction to Amazon Athena.
You can get free and unlimited access to more than 100 new digital training courses built by AWS experts at aws.training. It’s easy to access training related to big data. Just choose the Analytics category on our Find Training page to browse through the list of courses. You can also use the keyword filter to search for training for specific AWS offerings.
Just getting started, or looking to learn about a new service? Check out the following digital training courses:
Introduction to Amazon EMR (15 minutes)
Covers the available tools that can be used with Amazon EMR and the process of creating a cluster. It includes a demonstration of how to create an EMR cluster.
Introduction to Amazon Athena (10 minutes)
Introduces the Amazon Athena service along with an overview of its operating environment. It covers the basic steps in implementing Athena and provides a brief demonstration.
Introduction to Amazon QuickSight (10 minutes)
Discusses the benefits of using Amazon QuickSight and how the service works. It also includes a demonstration so that you can see Amazon QuickSight in action.
Introduction to Amazon Redshift (10 minutes)
Walks you through Amazon Redshift and its core features and capabilities. It also includes a quick overview of relevant use cases and a short demonstration.
Introduction to AWS Lambda (10 minutes)
Discusses the rationale for using AWS Lambda, how the service works, and how you can get started using it.
Introduction to Amazon Kinesis Analytics (10 minutes)
Discusses how Amazon Kinesis Analytics collects, processes, and analyzes streaming data in real time. It discusses how to use and monitor the service and explores some use cases.
Introduction to Amazon Kinesis Streams (15 minutes)
Covers how Amazon Kinesis Streams is used to collect, process, and analyze real-time streaming data to create valuable insights.
Introduction to AWS IoT (10 minutes)
Describes how the AWS Internet of Things (IoT) communication architecture works, and the components that make up AWS IoT. It discusses how AWS IoT works with other AWS services and reviews a case study.
Introduction to AWS Data Pipeline (10 minutes)
Covers components like tasks, task runner, and pipeline. It also discusses what a pipeline definition is, and reviews the AWS services that are compatible with AWS Data Pipeline.
Go deeper with classroom training
Want to learn more? Enroll in classroom training to learn best practices, get live feedback, and hear answers to your questions from an instructor.
|February 2023 Update: Console access to the AWS Data Pipeline service will be removed on April 30, 2023. On this date, you will no longer be able to access AWS Data Pipeline though the console. You will continue to have access to AWS Data Pipeline through the command line interface and API. Please note that AWS Data Pipeline service is in maintenance mode and we are not planning to expand the service to new regions. For information about migrating from AWS Data Pipeline, please refer to the AWS Data Pipeline migration documentation.|
Big Data on AWS (3 days)
Introduces you to cloud-based big data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis, and the rest of the AWS big data platform.
Data Warehousing on AWS (3 days)
Introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution, and demonstrates how to collect, store, and prepare data for the data warehouse.
Building a Serverless Data Lake (1 day)
Teaches you how to design, build, and operate a serverless data lake solution with AWS services. Includes topics such as ingesting data from any data source at large scale, storing the data securely and durably, using the right tool to process large volumes of data, and understanding the options available for analyzing the data in near-real time.
More training coming in 2018
We’re always evaluating and expanding our training portfolio, so stay tuned for more training options in the new year. You can always visit us at aws.training to explore our latest offerings.